We are looking for a Senior Data Scientist to help build the next generation of analytics on top of our enterprise data warehouse. This role is focused on a practical and increasingly important challenge: how AI interacts with structured business data.
The successful candidate will help design and build systems where AI can understand, query, validate, reconcile, and reason on analytical data in a reliable and controlled way.
This is not a traditional dashboarding role, and it is not a pure research-focused Data Science role. The primary focus is practical implementation of AI systems inside a modern data warehouse environment.
The role combines several disciplines:
We are building an AI-ready analytical environment on top of our data warehouse where AI can reliably interact with structured business data.
Examples include:
The focus is not AI for the entire company. The focus is specifically AI working with analytical and financial data inside the data warehouse ecosystem.
Design analytical data structures that can be reliably consumed by both humans and AI systems. Move business logic into the warehouse, improve semantic consistency, define reusable metrics, and ensure analytical correctness across systems.
Help define how AI interacts with warehouse data through prompts, semantic context, retrieval logic, validation mechanisms, and AI workflows. Ensure AI produces correct and trusted answers.
Work hands-on with technologies such as ChatGPT, Claude, OpenAI APIs, and AI agents. Test, evaluate, and improve AI outputs. Design workflows where multiple AI agents collaborate to solve analytical problems.
Help define how AI interprets business metrics and financial logic. Ensure AI correctly understands the difference between concepts such as revenue, cost, gross revenue, net revenue, trading volume, cash movement, accounting movement, balances, and position changes.
Ensure AI interacts with data in a controlled and secure manner. Help implement validation mechanisms, prevent sensitive data exposure, and improve trust in AI-generated outputs.
Data Platform
AI Interaction
Access & Governance
Prevent:
Automation: